Introduction

OpenCopilot is a free and open-source tool that allows you to create AI copilots for your SaaS product. The copilot can communicate with your underlying APIs and execute calls as needed. We are open-source under MIT license and also support OpenAPI standards.

Getting started

What are copilots? (start from here)

Introduction to OpenCopilot. start from here for step-by-step guide

Setting up

Install the project locally and make it yours

Create copilots

Create copilots programmatically (APIs, SDKs) or using the dashboard

Authentications and Authorization

Handle Authentications and Authorization to your backend

Embedding copilots on your app

How to use OpenCopilot widget and embed it on your web app

Creating complex flows

Learn how to use OpenCopilot flows definition

Roadmap

See what’s coming next.

Setting up

You can self-host OpenCopilot in a relatively easy way, please make sure you have the following requirements:

• Docker engine and docker compose installed
• Clone the repository

git clone https://github.com/openchatai/opencopilot.git

• Update your llm-server/.env with your OPENAI_API_KEY

OPENAI_API_KEY=YOUR_KEY_GOES_HERE

• Run the installation script

make install

Then your OpenCopilot dashboard will be accessible at http://localhost:8888

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You also can see the complete list of commands using make help

➜  OpenCopilot git:(main) make help
Usage: make [target]

Available Targets:

  install            - Install and set up the Docker environment
  db-setup           - Set up the database (fresh migration with seeding)
  down               - Stop and remove all containers
  exec-backend      - Access the backend container's shell
  exec-dashboard    - Access the dashboard container's shell
  exec-llm-server   - Access the llm-server container's shell
  restart            - Restart all containers
  logs               - Show container logs

  help               - Display this help message

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Complete list of links:

• http://localhost:8888/backend -> backend APIs (create, update, delete and validate copilots)
• http://localhost:8888 or http://localhost:8888/dashbaord -> dashboard (UI to do the same)